An enhanced prediction of tumor using transfer learning based framework

Published: March 15, 2024

Switch mastering involves the transfer of understanding from one device version to every other, with purpose getting better performance being trained. This approach has currently been used improve effectiveness deep-gaining knowledge networks for most cancer detection. Specifically, switch getting-to-know method is applied best-song a pre-trained deep studying network medical imaging records research functions related datasets. The first-class-tuned learning then classify newly affected person pics analysis and prognosis cancers. switching know gain substantially decreasing amount information needed teach version, in addition offering multiplied accuracy model improving generalization capability. Moreover, may be investigate exclusive aspects cancers discover new As such, powerful

Language: Английский

---

Gaining Insights with Deep Learning on Small Scale Cancer Detection

Published: March 15, 2024

Deep gaining knowledge is an artificial intelligence (AI) technology that examines large amounts of information, which will make correct predictions. It's increasingly being used in medicinal drugs to resource doctors the prognosis and treatment diverse diseases, especially cancer. In this project, deep getting-to-know techniques are applied small-scale cancer detection, aiming create a generalisable, predictive version for detection. A neural community created skilled use small dataset virtual snapshots benign malignant tumours. The then tested opposition larger test dataset, outcomes comparison conventional characteristic-based total version. effects display learning-primarily based model outperforms technique, with 0.7808 accuracy fee versus zero.7585 charge feature-based model. It provides evidence mastering can be efficiently datasets, demonstrating capability AI clinical diagnostics.

Language: Английский

---

Performance Improvement in Welding Operations Through Image Processing

Published: March 15, 2024

This examination intends to enhance the overall performance of welding operations through picture processing. It's going use an aggregate PC vision and gadgets, getting know perceive better tune welds, improve accuracy system, reduce capability for mistakes. Particularly, study will make a deep learning method classify welds in specific classes, allowing be more effectively monitored operated. Additionally, convolutional neural network technique utilized pick out estimate vital parameters from image statistics. Sooner or later, robot arm geared up with digital camera torch can used validate process actual-world scenario. The effects this take look at nice higher visibility into system.

Language: Английский

---

Enhanced QoS Optimization of Opportunistic Networks using Decision Tree

Published: May 9, 2024

Language: Английский

---

Detection Of Subtle Musculoskeletal Injuries Using 3D Magnetic Resonance Imaging

2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: June 24, 2024

Language: Английский

---

Improving Coverage Efficiency with Autonomous and Adaptive Communications Systems

2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 5

Published: June 24, 2024

Language: Английский

---

An Analysis of Transform Coding Techniques in Image and Video Compression

2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: June 24, 2024

Language: Английский

---